{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Object Detection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on Renu Khandelwal's YOLOv3 demo provided [here](https://medium.com/datadriveninvestor/object-detection-using-yolov3-using-keras-80bf35e61ce1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_DEVICE_ORDER\"] = \"PCI_BUS_ID\"\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "import scipy.io\n",
    "import scipy.misc\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import PIL\n",
    "import struct\n",
    "import cv2\n",
    "from numpy import expand_dims\n",
    "import tensorflow as tf\n",
    "from skimage.transform import resize\n",
    "from keras import backend as K\n",
    "from keras.layers import Input, Lambda, Conv2D, BatchNormalization, LeakyReLU, ZeroPadding2D, UpSampling2D\n",
    "from keras.models import load_model, Model\n",
    "from keras.layers.merge import add, concatenate\n",
    "from keras.preprocessing.image import load_img\n",
    "from keras.preprocessing.image import img_to_array\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import imshow\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class WeightReader:\n",
    "    def __init__(self, weight_file):\n",
    "        with open(weight_file, 'rb') as w_f:\n",
    "            major,    = struct.unpack('i', w_f.read(4))\n",
    "            minor,    = struct.unpack('i', w_f.read(4))\n",
    "            revision, = struct.unpack('i', w_f.read(4))\n",
    "\n",
    "            if (major*10 + minor) >= 2 and major < 1000 and minor < 1000:\n",
    "                w_f.read(8)\n",
    "            else:\n",
    "                w_f.read(4)\n",
    "\n",
    "            transpose = (major > 1000) or (minor > 1000)\n",
    "            \n",
    "            binary = w_f.read()\n",
    "\n",
    "        self.offset = 0\n",
    "        self.all_weights = np.frombuffer(binary, dtype='float32')\n",
    "        \n",
    "    def read_bytes(self, size):\n",
    "        self.offset = self.offset + size\n",
    "        return self.all_weights[self.offset-size:self.offset]\n",
    "\n",
    "    def load_weights(self, model):\n",
    "        for i in range(106):\n",
    "            try:\n",
    "                conv_layer = model.get_layer('conv_' + str(i))\n",
    "                print(\"loading weights of convolution #\" + str(i))\n",
    "\n",
    "                if i not in [81, 93, 105]:\n",
    "                    norm_layer = model.get_layer('bnorm_' + str(i))\n",
    "\n",
    "                    size = np.prod(norm_layer.get_weights()[0].shape)\n",
    "\n",
    "                    beta  = self.read_bytes(size) # bias\n",
    "                    gamma = self.read_bytes(size) # scale\n",
    "                    mean  = self.read_bytes(size) # mean\n",
    "                    var   = self.read_bytes(size) # variance            \n",
    "\n",
    "                    weights = norm_layer.set_weights([gamma, beta, mean, var])  \n",
    "\n",
    "                if len(conv_layer.get_weights()) > 1:\n",
    "                    bias   = self.read_bytes(np.prod(conv_layer.get_weights()[1].shape))\n",
    "                    kernel = self.read_bytes(np.prod(conv_layer.get_weights()[0].shape))\n",
    "                    \n",
    "                    kernel = kernel.reshape(list(reversed(conv_layer.get_weights()[0].shape)))\n",
    "                    kernel = kernel.transpose([2,3,1,0])\n",
    "                    conv_layer.set_weights([kernel, bias])\n",
    "                else:\n",
    "                    kernel = self.read_bytes(np.prod(conv_layer.get_weights()[0].shape))\n",
    "                    kernel = kernel.reshape(list(reversed(conv_layer.get_weights()[0].shape)))\n",
    "                    kernel = kernel.transpose([2,3,1,0])\n",
    "                    conv_layer.set_weights([kernel])\n",
    "            except ValueError:\n",
    "                print(\"no convolution #\" + str(i))     \n",
    "    \n",
    "    def reset(self):\n",
    "        self.offset = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def _conv_block(inp, convs, skip=True):\n",
    "    x = inp\n",
    "    count = 0\n",
    "    \n",
    "    for conv in convs:\n",
    "        if count == (len(convs) - 2) and skip:\n",
    "            skip_connection = x\n",
    "        count += 1\n",
    "        \n",
    "        if conv['stride'] > 1: x = ZeroPadding2D(((1,0),(1,0)))(x) # peculiar padding as darknet prefer left and top\n",
    "        x = Conv2D(conv['filter'], \n",
    "                   conv['kernel'], \n",
    "                   strides=conv['stride'], \n",
    "                   padding='valid' if conv['stride'] > 1 else 'same', # peculiar padding as darknet prefer left and top\n",
    "                   name='conv_' + str(conv['layer_idx']), \n",
    "                   use_bias=False if conv['bnorm'] else True)(x)\n",
    "        if conv['bnorm']: x = BatchNormalization(epsilon=0.001, name='bnorm_' + str(conv['layer_idx']))(x)\n",
    "        if conv['leaky']: x = LeakyReLU(alpha=0.1, name='leaky_' + str(conv['layer_idx']))(x)\n",
    "\n",
    "    return add([skip_connection, x]) if skip else x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Design model architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def make_yolov3_model():\n",
    "    input_image = Input(shape=(None, None, 3))\n",
    "\n",
    "    # Layer  0 => 4\n",
    "    x = _conv_block(input_image, [{'filter': 32, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 0},\n",
    "                                  {'filter': 64, 'kernel': 3, 'stride': 2, 'bnorm': True, 'leaky': True, 'layer_idx': 1},\n",
    "                                  {'filter': 32, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 2},\n",
    "                                  {'filter': 64, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 3}])\n",
    "\n",
    "    # Layer  5 => 8\n",
    "    x = _conv_block(x, [{'filter': 128, 'kernel': 3, 'stride': 2, 'bnorm': True, 'leaky': True, 'layer_idx': 5},\n",
    "                        {'filter':  64, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 6},\n",
    "                        {'filter': 128, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 7}])\n",
    "\n",
    "    # Layer  9 => 11\n",
    "    x = _conv_block(x, [{'filter':  64, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 9},\n",
    "                        {'filter': 128, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 10}])\n",
    "\n",
    "    # Layer 12 => 15\n",
    "    x = _conv_block(x, [{'filter': 256, 'kernel': 3, 'stride': 2, 'bnorm': True, 'leaky': True, 'layer_idx': 12},\n",
    "                        {'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 13},\n",
    "                        {'filter': 256, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 14}])\n",
    "\n",
    "    # Layer 16 => 36\n",
    "    for i in range(7):\n",
    "        x = _conv_block(x, [{'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 16+i*3},\n",
    "                            {'filter': 256, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 17+i*3}])\n",
    "        \n",
    "    skip_36 = x\n",
    "        \n",
    "    # Layer 37 => 40\n",
    "    x = _conv_block(x, [{'filter': 512, 'kernel': 3, 'stride': 2, 'bnorm': True, 'leaky': True, 'layer_idx': 37},\n",
    "                        {'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 38},\n",
    "                        {'filter': 512, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 39}])\n",
    "\n",
    "    # Layer 41 => 61\n",
    "    for i in range(7):\n",
    "        x = _conv_block(x, [{'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 41+i*3},\n",
    "                            {'filter': 512, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 42+i*3}])\n",
    "        \n",
    "    skip_61 = x\n",
    "        \n",
    "    # Layer 62 => 65\n",
    "    x = _conv_block(x, [{'filter': 1024, 'kernel': 3, 'stride': 2, 'bnorm': True, 'leaky': True, 'layer_idx': 62},\n",
    "                        {'filter':  512, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 63},\n",
    "                        {'filter': 1024, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 64}])\n",
    "\n",
    "    # Layer 66 => 74\n",
    "    for i in range(3):\n",
    "        x = _conv_block(x, [{'filter':  512, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 66+i*3},\n",
    "                            {'filter': 1024, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 67+i*3}])\n",
    "        \n",
    "    # Layer 75 => 79\n",
    "    x = _conv_block(x, [{'filter':  512, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 75},\n",
    "                        {'filter': 1024, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 76},\n",
    "                        {'filter':  512, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 77},\n",
    "                        {'filter': 1024, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 78},\n",
    "                        {'filter':  512, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 79}], skip=False)\n",
    "\n",
    "    # Layer 80 => 82\n",
    "    yolo_82 = _conv_block(x, [{'filter': 1024, 'kernel': 3, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 80},\n",
    "                              {'filter':  255, 'kernel': 1, 'stride': 1, 'bnorm': False, 'leaky': False, 'layer_idx': 81}], skip=False)\n",
    "\n",
    "    # Layer 83 => 86\n",
    "    x = _conv_block(x, [{'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 84}], skip=False)\n",
    "    x = UpSampling2D(2)(x)\n",
    "    x = concatenate([x, skip_61])\n",
    "\n",
    "    # Layer 87 => 91\n",
    "    x = _conv_block(x, [{'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 87},\n",
    "                        {'filter': 512, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 88},\n",
    "                        {'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 89},\n",
    "                        {'filter': 512, 'kernel': 3, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 90},\n",
    "                        {'filter': 256, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True, 'layer_idx': 91}], skip=False)\n",
    "\n",
    "    # Layer 92 => 94\n",
    "    yolo_94 = _conv_block(x, [{'filter': 512, 'kernel': 3, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 92},\n",
    "                              {'filter': 255, 'kernel': 1, 'stride': 1, 'bnorm': False, 'leaky': False, 'layer_idx': 93}], skip=False)\n",
    "\n",
    "    # Layer 95 => 98\n",
    "    x = _conv_block(x, [{'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True, 'leaky': True,   'layer_idx': 96}], skip=False)\n",
    "    x = UpSampling2D(2)(x)\n",
    "    x = concatenate([x, skip_36])\n",
    "\n",
    "    # Layer 99 => 106\n",
    "    yolo_106 = _conv_block(x, [{'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 99},\n",
    "                               {'filter': 256, 'kernel': 3, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 100},\n",
    "                               {'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 101},\n",
    "                               {'filter': 256, 'kernel': 3, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 102},\n",
    "                               {'filter': 128, 'kernel': 1, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 103},\n",
    "                               {'filter': 256, 'kernel': 3, 'stride': 1, 'bnorm': True,  'leaky': True,  'layer_idx': 104},\n",
    "                               {'filter': 255, 'kernel': 1, 'stride': 1, 'bnorm': False, 'leaky': False, 'layer_idx': 105}], skip=False)\n",
    "\n",
    "    model = Model(input_image, [yolo_82, yolo_94, yolo_106])    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2019-09-24 23:42:49--  https://pjreddie.com/media/files/yolov3.weights\n",
      "Resolving pjreddie.com (pjreddie.com)... 128.208.4.108\n",
      "Connecting to pjreddie.com (pjreddie.com)|128.208.4.108|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 248007048 (237M) [application/octet-stream]\n",
      "Saving to: ‘yolov3.weights’\n",
      "\n",
      "yolov3.weights      100%[===================>] 236.52M  39.8MB/s    in 6.4s    \n",
      "\n",
      "2019-09-24 23:42:56 (36.9 MB/s) - ‘yolov3.weights’ saved [248007048/248007048]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## from https://github.com/ultralytics/yolov3/blob/master/weights/download_yolov3_weights.sh: \n",
    "# ! wget -c https://pjreddie.com/media/files/yolov3.weights "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading weights of convolution #0\n",
      "loading weights of convolution #1\n",
      "loading weights of convolution #2\n",
      "loading weights of convolution #3\n",
      "no convolution #4\n",
      "loading weights of convolution #5\n",
      "loading weights of convolution #6\n",
      "loading weights of convolution #7\n",
      "no convolution #8\n",
      "loading weights of convolution #9\n",
      "loading weights of convolution #10\n",
      "no convolution #11\n",
      "loading weights of convolution #12\n",
      "loading weights of convolution #13\n",
      "loading weights of convolution #14\n",
      "no convolution #15\n",
      "loading weights of convolution #16\n",
      "loading weights of convolution #17\n",
      "no convolution #18\n",
      "loading weights of convolution #19\n",
      "loading weights of convolution #20\n",
      "no convolution #21\n",
      "loading weights of convolution #22\n",
      "loading weights of convolution #23\n",
      "no convolution #24\n",
      "loading weights of convolution #25\n",
      "loading weights of convolution #26\n",
      "no convolution #27\n",
      "loading weights of convolution #28\n",
      "loading weights of convolution #29\n",
      "no convolution #30\n",
      "loading weights of convolution #31\n",
      "loading weights of convolution #32\n",
      "no convolution #33\n",
      "loading weights of convolution #34\n",
      "loading weights of convolution #35\n",
      "no convolution #36\n",
      "loading weights of convolution #37\n",
      "loading weights of convolution #38\n",
      "loading weights of convolution #39\n",
      "no convolution #40\n",
      "loading weights of convolution #41\n",
      "loading weights of convolution #42\n",
      "no convolution #43\n",
      "loading weights of convolution #44\n",
      "loading weights of convolution #45\n",
      "no convolution #46\n",
      "loading weights of convolution #47\n",
      "loading weights of convolution #48\n",
      "no convolution #49\n",
      "loading weights of convolution #50\n",
      "loading weights of convolution #51\n",
      "no convolution #52\n",
      "loading weights of convolution #53\n",
      "loading weights of convolution #54\n",
      "no convolution #55\n",
      "loading weights of convolution #56\n",
      "loading weights of convolution #57\n",
      "no convolution #58\n",
      "loading weights of convolution #59\n",
      "loading weights of convolution #60\n",
      "no convolution #61\n",
      "loading weights of convolution #62\n",
      "loading weights of convolution #63\n",
      "loading weights of convolution #64\n",
      "no convolution #65\n",
      "loading weights of convolution #66\n",
      "loading weights of convolution #67\n",
      "no convolution #68\n",
      "loading weights of convolution #69\n",
      "loading weights of convolution #70\n",
      "no convolution #71\n",
      "loading weights of convolution #72\n",
      "loading weights of convolution #73\n",
      "no convolution #74\n",
      "loading weights of convolution #75\n",
      "loading weights of convolution #76\n",
      "loading weights of convolution #77\n",
      "loading weights of convolution #78\n",
      "loading weights of convolution #79\n",
      "loading weights of convolution #80\n",
      "loading weights of convolution #81\n",
      "no convolution #82\n",
      "no convolution #83\n",
      "loading weights of convolution #84\n",
      "no convolution #85\n",
      "no convolution #86\n",
      "loading weights of convolution #87\n",
      "loading weights of convolution #88\n",
      "loading weights of convolution #89\n",
      "loading weights of convolution #90\n",
      "loading weights of convolution #91\n",
      "loading weights of convolution #92\n",
      "loading weights of convolution #93\n",
      "no convolution #94\n",
      "no convolution #95\n",
      "loading weights of convolution #96\n",
      "no convolution #97\n",
      "no convolution #98\n",
      "loading weights of convolution #99\n",
      "loading weights of convolution #100\n",
      "loading weights of convolution #101\n",
      "loading weights of convolution #102\n",
      "loading weights of convolution #103\n",
      "loading weights of convolution #104\n",
      "loading weights of convolution #105\n"
     ]
    }
   ],
   "source": [
    "net_h, net_w = 416, 416\n",
    "obj_thresh, nms_thresh = 0.5, 0.45\n",
    "anchors = [[116,90,  156,198,  373,326],  [30,61, 62,45,  59,119], [10,13,  16,30,  33,23]]\n",
    "labels = [\"person\", \"bicycle\", \"car\", \"motorbike\", \"aeroplane\", \"bus\", \"train\", \"truck\", \\\n",
    "              \"boat\", \"traffic light\", \"fire hydrant\", \"stop sign\", \"parking meter\", \"bench\", \\\n",
    "              \"bird\", \"cat\", \"dog\", \"horse\", \"sheep\", \"cow\", \"elephant\", \"bear\", \"zebra\", \"giraffe\", \\\n",
    "              \"backpack\", \"umbrella\", \"handbag\", \"tie\", \"suitcase\", \"frisbee\", \"skis\", \"snowboard\", \\\n",
    "              \"sports ball\", \"kite\", \"baseball bat\", \"baseball glove\", \"skateboard\", \"surfboard\", \\\n",
    "              \"tennis racket\", \"bottle\", \"wine glass\", \"cup\", \"fork\", \"knife\", \"spoon\", \"bowl\", \"banana\", \\\n",
    "              \"apple\", \"sandwich\", \"orange\", \"broccoli\", \"carrot\", \"hot dog\", \"pizza\", \"donut\", \"cake\", \\\n",
    "              \"chair\", \"sofa\", \"pottedplant\", \"bed\", \"diningtable\", \"toilet\", \"tvmonitor\", \"laptop\", \"mouse\", \\\n",
    "              \"remote\", \"keyboard\", \"cell phone\", \"microwave\", \"oven\", \"toaster\", \"sink\", \"refrigerator\", \\\n",
    "              \"book\", \"clock\", \"vase\", \"scissors\", \"teddy bear\", \"hair drier\", \"toothbrush\"]\n",
    "\n",
    "# make the yolov3 model to predict 80 classes on COCO\n",
    "\n",
    "yolov3 = make_yolov3_model()\n",
    "\n",
    "# load the weights trained on COCO into the model\n",
    "weight_reader = WeightReader('yolov3.weights')\n",
    "weight_reader.load_weights(yolov3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Save model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "yolov3.save('yolov3.h5') # can be loaded with: yolov3 = load_model('yolov3.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from numpy import expand_dims\n",
    "def load_image_pixels(filename, shape):\n",
    "    # load the image to get its shape\n",
    "    image = load_img(filename)\n",
    "    width, height = image.size\n",
    "    # load the image with the required size\n",
    "    image = load_img(filename, target_size=shape)\n",
    "    # convert to numpy array\n",
    "    image = img_to_array(image)\n",
    "    # scale pixel values to [0, 1]\n",
    "    image = image.astype('float32')\n",
    "    image /= 255.0\n",
    "    # add a dimension so that we have one sample\n",
    "    image = expand_dims(image, 0)\n",
    "    return image, width, height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2019-09-24 23:48:09--  https://raw.githubusercontent.com/arshren/YOLOV3/master/eagle.png\n",
      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 940917 (919K) [image/png]\n",
      "Saving to: ‘eagle.png’\n",
      "\n",
      "eagle.png           100%[===================>] 918.86K  --.-KB/s    in 0.06s   \n",
      "\n",
      "2019-09-24 23:48:10 (15.9 MB/s) - ‘eagle.png’ saved [940917/940917]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# ! wget -c https://raw.githubusercontent.com/arshren/YOLOV3/master/eagle.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# define the expected input shape for the model\n",
    "input_w, input_h = 416, 416\n",
    "# define our new photo\n",
    "photo_filename = 'eagle.png'\n",
    "# load and prepare image\n",
    "image, image_w, image_h = load_image_pixels(photo_filename, (input_w, input_h))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class BoundBox:\n",
    "    def __init__(self, xmin, ymin, xmax, ymax, objness = None, classes = None):\n",
    "        self.xmin = xmin\n",
    "        self.ymin = ymin\n",
    "        self.xmax = xmax\n",
    "        self.ymax = ymax\n",
    "        \n",
    "        self.objness = objness\n",
    "        self.classes = classes\n",
    "\n",
    "        self.label = -1\n",
    "        self.score = -1\n",
    "\n",
    "    def get_label(self):\n",
    "        if self.label == -1:\n",
    "            self.label = np.argmax(self.classes)\n",
    "        \n",
    "        return self.label\n",
    "    \n",
    "    def get_score(self):\n",
    "        if self.score == -1:\n",
    "            self.score = self.classes[self.get_label()]\n",
    "            \n",
    "        return self.score\n",
    "\n",
    "def _sigmoid(x):\n",
    "    return 1. / (1. + np.exp(-x))\n",
    "\n",
    "def _interval_overlap(interval_a, interval_b):\n",
    "    x1, x2 = interval_a\n",
    "    x3, x4 = interval_b\n",
    "\n",
    "    if x3 < x1:\n",
    "        if x4 < x1:\n",
    "            return 0\n",
    "        else:\n",
    "            return min(x2,x4) - x1\n",
    "    else:\n",
    "        if x2 < x3:\n",
    "             return 0\n",
    "        else:\n",
    "            return min(x2,x4) - x3 \n",
    "def bbox_iou(box1, box2):\n",
    "    intersect_w = _interval_overlap([box1.xmin, box1.xmax], [box2.xmin, box2.xmax])\n",
    "    intersect_h = _interval_overlap([box1.ymin, box1.ymax], [box2.ymin, box2.ymax])\n",
    "    \n",
    "    intersect = intersect_w * intersect_h\n",
    "\n",
    "    w1, h1 = box1.xmax-box1.xmin, box1.ymax-box1.ymin\n",
    "    w2, h2 = box2.xmax-box2.xmin, box2.ymax-box2.ymin\n",
    "    \n",
    "    union = w1*h1 + w2*h2 - intersect\n",
    "    \n",
    "    return float(intersect) / union\n",
    "\n",
    "def do_nms(boxes, nms_thresh):\n",
    "    if len(boxes) > 0:\n",
    "        nb_class = len(boxes[0].classes)\n",
    "    else:\n",
    "        return\n",
    "        \n",
    "    for c in range(nb_class):\n",
    "        sorted_indices = np.argsort([-box.classes[c] for box in boxes])\n",
    "\n",
    "        for i in range(len(sorted_indices)):\n",
    "            index_i = sorted_indices[i]\n",
    "\n",
    "            if boxes[index_i].classes[c] == 0: continue\n",
    "\n",
    "            for j in range(i+1, len(sorted_indices)):\n",
    "                index_j = sorted_indices[j]\n",
    "\n",
    "                if bbox_iou(boxes[index_i], boxes[index_j]) >= nms_thresh:\n",
    "                    boxes[index_j].classes[c] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#decode_netout() that will take each one of the NumPy arrays, one at a time, \n",
    "#and decode the candidate bounding boxes and class predictions\n",
    "def decode_netout(netout, anchors, obj_thresh,  net_h, net_w):\n",
    "    grid_h, grid_w = netout.shape[:2]\n",
    "    nb_box = 3\n",
    "    netout = netout.reshape((grid_h, grid_w, nb_box, -1))\n",
    "    nb_class = netout.shape[-1] - 5\n",
    "\n",
    "    boxes = []\n",
    "\n",
    "    netout[..., :2]  = _sigmoid(netout[..., :2])\n",
    "    netout[..., 4:]  = _sigmoid(netout[..., 4:])\n",
    "    netout[..., 5:]  = netout[..., 4][..., np.newaxis] * netout[..., 5:]\n",
    "    netout[..., 5:] *= netout[..., 5:] > obj_thresh\n",
    "\n",
    "    for i in range(grid_h*grid_w):\n",
    "        row = i / grid_w\n",
    "        col = i % grid_w\n",
    "        \n",
    "        for b in range(nb_box):\n",
    "            # 4th element is objectness score\n",
    "            objectness = netout[int(row)][int(col)][b][4]\n",
    "            #objectness = netout[..., :4]\n",
    "            \n",
    "            if(objectness.all() <= obj_thresh): continue\n",
    "            \n",
    "            # first 4 elements are x, y, w, and h\n",
    "            x, y, w, h = netout[int(row)][int(col)][b][:4]\n",
    "\n",
    "            x = (col + x) / grid_w # center position, unit: image width\n",
    "            y = (row + y) / grid_h # center position, unit: image height\n",
    "            w = anchors[2 * b + 0] * np.exp(w) / net_w # unit: image width\n",
    "            h = anchors[2 * b + 1] * np.exp(h) / net_h # unit: image height  \n",
    "            \n",
    "            # last elements are class probabilities\n",
    "            classes = netout[int(row)][col][b][5:]\n",
    "            \n",
    "            box = BoundBox(x-w/2, y-h/2, x+w/2, y+h/2, objectness, classes)\n",
    "            #box = BoundBox(x-w/2, y-h/2, x+w/2, y+h/2, None, classes)\n",
    "\n",
    "            boxes.append(box)\n",
    "\n",
    "    return boxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# bounding boxes will be stretched back into the shape of the original image\n",
    "#will allow plotting the original image and draw the bounding boxes, hopefully detecting real objects.\n",
    "# correct the sizes of the bounding boxes for the shape of the image\n",
    "#correct_yolo_boxes(boxes, image_h, image_w, input_h, input_w)\n",
    "def correct_yolo_boxes(boxes, image_h, image_w, net_h, net_w):\n",
    "    if (float(net_w)/image_w) < (float(net_h)/image_h):\n",
    "        new_w = net_w\n",
    "        new_h = (image_h*net_w)/image_w\n",
    "    else:\n",
    "        new_h = net_w\n",
    "        new_w = (image_w*net_h)/image_h\n",
    "        \n",
    "    for i in range(len(boxes)):\n",
    "        x_offset, x_scale = (net_w - new_w)/2./net_w, float(new_w)/net_w\n",
    "        y_offset, y_scale = (net_h - new_h)/2./net_h, float(new_h)/net_h\n",
    "        \n",
    "        boxes[i].xmin = int((boxes[i].xmin - x_offset) / x_scale * image_w)\n",
    "        boxes[i].xmax = int((boxes[i].xmax - x_offset) / x_scale * image_w)\n",
    "        boxes[i].ymin = int((boxes[i].ymin - y_offset) / y_scale * image_h)\n",
    "        boxes[i].ymax = int((boxes[i].ymax - y_offset) / y_scale * image_h)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# suppress non-maximal boxes\n",
    "#do_nms(boxes, 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from matplotlib.patches import Rectangle\n",
    "def draw_boxes(filename, v_boxes, v_labels, v_scores):\n",
    "    # load the image\n",
    "    data = plt.imread(filename)\n",
    "    # plot the image\n",
    "    plt.imshow(data)\n",
    "    # get the context for drawing boxes\n",
    "    ax = plt.gca()\n",
    "    # plot each box\n",
    "    for i in range(len(v_boxes)):\n",
    "        box = v_boxes[i]\n",
    "        # get coordinates\n",
    "        y1, x1, y2, x2 = box.ymin, box.xmin, box.ymax, box.xmax\n",
    "        # calculate width and height of the box\n",
    "        width, height = x2 - x1, y2 - y1\n",
    "        # create the shape\n",
    "        rect = Rectangle((x1, y1), width, height, fill=False, color='red')\n",
    "        # draw the box\n",
    "        ax.add_patch(rect)\n",
    "        # draw text and score in top left corner\n",
    "        label = \"%s (%.3f)\" % (v_labels[i], v_scores[i])\n",
    "        plt.text(x1, y1, label, color='red')\n",
    "    # show the plot\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# get all of the results above a threshold\n",
    "# takes the list of boxes, known labels, \n",
    "#and our classification threshold as arguments and returns parallel lists of boxes, labels, and scores.\n",
    "def get_boxes(boxes, labels, thresh):\n",
    "    v_boxes, v_labels, v_scores = list(), list(), list()\n",
    "    # enumerate all boxes\n",
    "    for box in boxes:\n",
    "        # enumerate all possible labels\n",
    "        for i in range(len(labels)):\n",
    "            # check if the threshold for this label is high enough\n",
    "            if box.classes[i] > thresh:\n",
    "                v_boxes.append(box)\n",
    "                v_labels.append(labels[i])\n",
    "                v_scores.append(box.classes[i]*100)\n",
    "                # don't break, many labels may trigger for one box\n",
    "    return v_boxes, v_labels, v_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# https://raw.githubusercontent.com/arshren/YOLOV3/master/eagle.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, 13, 13, 255), (1, 26, 26, 255), (1, 52, 52, 255)]\n",
      "dog 99.7451424599\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANwAAAD8CAYAAAAc9sq3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njjQTgRcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f63583ee5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define the expected input shape for the model\n",
    "input_w, input_h = 416, 416\n",
    "# define our new photo\n",
    "# photo_filename = 'eagle.png'\n",
    "photo_filename = 'yolov3-model/oboe-book-small.png'\n",
    "# load and prepare image\n",
    "image, image_w, image_h = load_image_pixels(photo_filename, (net_w, net_w))\n",
    "\n",
    "\n",
    "# make prediction\n",
    "yolos = yolov3.predict(image)\n",
    "# summarize the shape of the list of arrays\n",
    "print([a.shape for a in yolos])\n",
    "\n",
    "# define the anchors\n",
    "anchors = [[116,90, 156,198, 373,326], [30,61, 62,45, 59,119], [10,13, 16,30, 33,23]]\n",
    "# define the probability threshold for detected objects\n",
    "class_threshold = 0.6\n",
    "boxes = list()\n",
    "\n",
    "for i in range(len(yolos)):\n",
    "        # decode the output of the network\n",
    "    boxes += decode_netout(yolos[i][0], anchors[i], obj_thresh,  net_h, net_w)\n",
    "\n",
    "    # correct the sizes of the bounding boxes\n",
    "correct_yolo_boxes(boxes, image_h, image_w, net_h, net_w)\n",
    "\n",
    "# suppress non-maximal boxes\n",
    "do_nms(boxes, nms_thresh)\n",
    "\n",
    "# get the details of the detected objects\n",
    "v_boxes, v_labels, v_scores = get_boxes(boxes, labels, class_threshold)\n",
    "# summarize what we found\n",
    "for i in range(len(v_boxes)):\n",
    "    print(v_labels[i], v_scores[i])\n",
    "# draw what we found\n",
    "draw_boxes(photo_filename, v_boxes, v_labels, v_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f6324078d68>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANwAAAD8CAYAAAAc9sq3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nvMOdt/P2S7TzDnfeztsv0f4v50kM+5PxObcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f63600729e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(plt.imread(photo_filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dog 99.7451424599\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANwAAAD8CAYAAAAc9sq3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njjQTgRcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6358557a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get the details of the detected objects\n",
    "v_boxes, v_labels, v_scores = get_boxes(boxes, labels, class_threshold)\n",
    "# summarize what we found\n",
    "for i in range(len(v_boxes)):\n",
    "    print(v_labels[i], v_scores[i])\n",
    "# draw what we found\n",
    "draw_boxes(photo_filename, v_boxes, v_labels, v_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
